Conference on Fairness, Accountability, and Transparency (FAT*)

A multi-disciplinary conference that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems.

FAT* 2018 occurred on February 23-24. Recordings are available on YouTube! And start planning for paper and tutorial submissions for 2019!

Algorithmic systems are being adopted in a growing number of contexts. Fueled by big data, these systems filter, sort, score, recommend, personalize, and otherwise shape human experiences of socio-technical systems. Although these systems bring myriad benefits, they also contain inherent risks, such as codifying and entrenching biases; reducing accountability and hindering due process; and increasing the information assymmetry between data producers and data holders.

FAT* is an annual conference dedicating to bringing together a diverse community to investigate and tackle issues in this emerging area. Topics of interest include, but are not limited to:

The theory and practice of fair and interpretable Machine Learning, Information Retrieval, NLP, and Computer Vision

Measurement and auditing of deployed systems

Users' experience of algorithms, and design interventions to empower users

FAT* builds upon several years of successful workshops on the topics of fairness, accountability, transparency, ethics, and interpretability in machine learning, recommender systems, the web, and other technical disciplines.

January 4, 2018 Students can now apply for registration fee waivers and a limited number of scholarships to help cover travel and lodging costs!

January 1, 2018 The program for the 2018 conference has been announced! Congratulations to all the authors of accepted papers! Also, we are thrilled to announce that Latanya Sweeney and Deborah Hellman will be keynoting at FAT* 2018!

December 6, 2017 The camera ready instructions for accepted papers have been released. Camera ready versions are due December 17th.

November 14, 2017 The call for tutorials for FAT* 2018 has been released. If you are interested in presenting software tools or bridging topics across disciplines, consider sending a proposal. 1-2 page proposals are due December 11.